Defines behaviorally realistic strategic classification and proposes Pro-SF framework grounded in prospect theory to model biased agent manipulations in Stackelberg interactions.
Proceedings of the 2020 conference on fairness, accountability, and transparency , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper proposes Strategic Prior-data Fitted Network (SPN), an inference-time method that adapts pretrained tabular foundation models to strategic feature manipulation by constructing aligned in-context examples.
citing papers explorer
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Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
Defines behaviorally realistic strategic classification and proposes Pro-SF framework grounded in prospect theory to model biased agent manipulations in Stackelberg interactions.
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When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
The paper proposes Strategic Prior-data Fitted Network (SPN), an inference-time method that adapts pretrained tabular foundation models to strategic feature manipulation by constructing aligned in-context examples.